Quantitative detection method for urbanized vegetation effect effective distance
A detection method and effective distance technology, applied in the field of remote sensing data data analysis, can solve the problems of uncertainty in accuracy and precision, inconsistent results, lack of detection methods, etc., and achieve the effect of good robustness and high precision
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[0063] combined with figure 1 , the quantitative detection method of the effective distance of urbanization vegetation effect is elaborated in detail, and the specific steps are as follows:
[0064] S01: Establish a multi-year space-time continuous remote sensing vegetation index dataset for cities and urban agglomerations
[0065] Specific: Select the 8km AVHRR GIMMMS NDVI produced by the NASA Goddard Space Center Global Monitoring and Simulation Research Group in 15 days 3g (3g: refers to the third-generation AVHRR GIMMS data set) The data set is used as vegetation index data, and the time span is 1982-2013, where NDVI 3g The data undergoes preprocessing processes such as subset extraction, image mosaicing, cropping data, format conversion, projection conversion, and quality inspection; the monthly value data set of vegetation index is obtained through the maximum value synthesis MVC method, and the average monthly value of the vegetation index in the growing season from Ap...
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